SASSI aims to enhance our understanding of complex human-environment interactions and their sustainability outcomes. The project develops a systems approach for sanitation which situates basic human functions within wider human ecosystems of critical social, economic and environmental resources and social institutions, cycles and order. We study different sanitation systems (e.g., service-networked; sewage-based), environments (urban, peri-urban, rural) and temporal scales (historical analysis, scenario modelling) using various analytical approaches and state-of-the-art modelling.
The docus is on Shanghai (China) as a prime example of urban transformation, drawing on quantitative and qualitative data to understand the development of infrastructure over time and explore how possible context-specific policy- or design-focused interventions may contribute to sustainable development in the future.
SASSI is a collaborative project with partners at the University of Manchester, Manchester Metropolitan University, University of Aberdeen, Tongji University and University of Tokyo. Funded by Towards a Sustainable Earth (TaSE) – a collaboration between UK Research & Innovation (NERC/ESRC, £404,710 FEC), Japan Science and Technology Agency and National Natural Science Foundation of China.
This project is concerned with complex human-environment interactions and their sustainability outcomes. It studies sustainability outcomes across different sanitation systems and temporal scales in India and Brazil using multiple analytical approaches and state-of-the-art modelling.
TOSSIB addresses multiple Sustainable Development Goals (SDGs): reducing inequalities in promoting sustainable sanitation for low-income areas (SDG10, SDG12); supporting the development of sanitation infrastructures that are culturally appropriate, more inclusive, economically viable and less wasteful (SDG6, SDG11); helping to reduce common health risks associated with the lack of sanitation (SDG3); and progressing the improvement of living standards for the poor (SDG11).
A collaborative project with partners at the University of Manchester, Manchester Metropolitan University, University of Aberdeen, TATA Institute of Social Sciences, Universidade Federal de Sao Carlos, Universidade Federal de Minas Gerais and Universidade Federal de Vicosa (Brazil). Funded by the Royal Society’s Challenge-Led Grants scheme (£499,993 FEC).